M. Carmen Márquez
- Molecular Biology top 10%
- Ecology top 2%
- Biotechnology top 2%
- Biomedical Engineering
- Pollution top 10%
- Co-authors
- António VentosaDavid R. ArahalF. Ruiz‐BerraqueroRafael R. de la HabaM. KocurStefan SpringWolfgang LudwigKarl‐Heinz Schleifer
- Topics
- Genomics and Phylogenetic Studies (24 papers)Microbial Community Ecology and Physiology (21 papers)Identification and Quantification in Food (5 papers)
- Cited by
- EcologyBiotechnologyMicrobiology
- Journals
- Applied and Environmental MicrobiologyINTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGYComputers & Mathematics with Applications
- Partner nations
- SpainUnited KingdomChina
In The Last Decade
M. Carmen Márquez
31 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 1.1k
- Ecology 984
- Biotechnology 245
- Biomedical Engineering 120
- Pollution 118
Countries citing papers authored by M. Carmen Márquez
This map shows the geographic impact of M. Carmen Márquez's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by M. Carmen Márquez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Carmen Márquez more than expected).
Fields of papers citing papers by M. Carmen Márquez
This network shows the impact of papers produced by M. Carmen Márquez. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by M. Carmen Márquez. The network helps show where M. Carmen Márquez may publish in the future.
Co-authorship network of co-authors of M. Carmen Márquez
This figure shows the co-authorship network connecting the top 25 collaborators of M. Carmen Márquez. A scholar is included among the top collaborators of M. Carmen Márquez based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Carmen Márquez. M. Carmen Márquez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 4 | |
| 3 | 57 | |
| 4 | 58 | |
| 5 | 19 | |
| 6 | 48 | |
| 7 | 26 | |
| 8 | 25 | |
| 9 | 41 | |
| 10 | 26 | |
| 11 | 0 | |
| 12 | 61 | |
| 13 | 59 | |
| 14 | 64 | |
| 15 | 15 | |
| 16 | 186 | |
| 17 | 90 | |
| 18 | 49 | |
| 19 | 31 | |
| 20 | 143 |
About M. Carmen Márquez
M. Carmen Márquez is a scholar working on Microbiology, Ecology and Algebra and Number Theory, having authored 32 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (24 papers), Microbial Community Ecology and Physiology (21 papers) and Identification and Quantification in Food (5 papers). The work is most often cited by research in Ecology (984 citations), Biotechnology (245 citations) and Microbiology (14 citations). M. Carmen Márquez has collaborated with scholars based in Spain, United Kingdom and China. Frequent co-authors include António Ventosa, David R. Arahal, F. Ruiz‐Berraquero, Rafael R. de la Haba, M. Kocur, Stefan Spring, Wolfgang Ludwig, Karl‐Heinz Schleifer, B. J. Tindall and John A. Baross. Their work appears in journals such as Applied and Environmental Microbiology, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY and Computers & Mathematics with Applications.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.